Instructions to use davanstrien/convnext_manuscript_iiif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/convnext_manuscript_iiif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/convnext_manuscript_iiif") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("davanstrien/convnext_manuscript_iiif") model = AutoModelForImageClassification.from_pretrained("davanstrien/convnext_manuscript_iiif") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#3
by librarian-bot - opened
This is a pull request to add facebook/convnext-base-224-22k as a base_model field to the metadata for your model (defined in the YAML block of your model's README.md). A regular expression match against your model's README.md file was used to identify this base_model Hugging Face Hub ID.
Adding this information to your model's metadata will allow users to find your model when searching for models based on a specific model and make it easier to discover the links between different models on the hub.
This PR was made by Librarian Bot. If this match is incorrect feel free to close this PR. Feel free to contact @davanstrien with feedback or questions.
davanstrien changed pull request status to merged